Web-based multimodal biometric authentication application

Author

Al-Hudhud, Ghada ; Alarfag, Eman ; Alkahtani, Shahad ; Alaskar, Afnan ; Almashari, Basmah ; Almashari, Hanna

Author_Institution

Dept. of Inf. Technol., Coll. of Comput. & Inf. Sci. King Saud Univ., Riyadh, Saudi Arabia

fYear

2015

fDate

17-19 Feb. 2015

Firstpage

1

Lastpage

6

Abstract

Biometric authentication systems are currently highly demanded, yet they are facing efficiency and accessibility challenges in terms of te unimodality. This paper addresses those problems and proposes a multimodal biometric system as a solution. The system includes two biometric models: Electroencephalography (EEG) and face recognition. In addition, the proposed multimodal biometric system includes a non-biometric model, known as SMS token. The work presented in this paper describes the feature extraction from the cloud storage of the biometric data and the best multimodal fusion technique for model combination.

Keywords

biometrics (access control); cloud computing; electroencephalography; face recognition; feature extraction; message authentication; storage management; EEG; SMS token; Web-based multimodal biometric authentication application; biometric data; biometric models; cloud storage; electroencephalography; face recognition; feature extraction; multimodal biometric authentication systems; multimodal fusion technique; nonbiometric model; unimodality; Authentication; Brain models; Electroencephalography; Face; Face recognition; Feature extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology: Towards New Smart World (NSITNSW), 2015 5th National Symposium on

Conference_Location

Riyadh

Print_ISBN

978-1-4799-7625-6

Type

conf

DOI

10.1109/NSITNSW.2015.7176422

Filename

7176422